Forum Credit Union reported a 70% loan-processing volume increase after AI-assisted lending workflow changes.
Peer institutions are already moving. The issue is disciplined execution.
The question for a $1-5B AUM community bank or credit union is no longer whether peers are deploying AI. It is whether your first funded use cases will hold up to evidence, governance, and operating economics.
Public reporting. Not Apolopa client engagements. The figures below are drawn from public peer reporting and independent research. They are presented to inform decisions, not to imply Apolopa attribution.
Cornerstone Advisors reported generative AI deployment by 49% of banks and 59% of credit unions in 2026 research.
Cornerstone's 2026 research surveyed 416 senior executives across banks and credit unions in the $250M-$50B asset range.
What this means for a $1-5B institution.
Peer figures are useful as orientation, not as targets to be copied. The community institutions that will benefit most are the ones that interpret peer evidence inside their own operating economics, risk posture, and member or customer expectations.
Adoption is now broad enough that boards are reviewing AI as a recurring agenda item, not a one-off pilot review.
Evidence that the result is reproducible, governance the institution can own, and economics that survive a stress test.
Interpreting peer evidence is useful. Replicating it without the underlying conditions tends to recreate the headline without the outcome.